Matches in SemOpenAlex for { <https://semopenalex.org/work/W4327842844> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W4327842844 abstract "In this paper, we present our advanced solutions to the two sub-challenges of Affective Behavior Analysis in the wild (ABAW) 2023: the Emotional Reaction Intensity (ERI) Estimation Challenge and Expression (Expr) Classification Challenge. ABAW 2023 aims to tackle the challenge of affective behavior analysis in natural contexts, with the ultimate goal of creating intelligent machines and robots that possess the ability to comprehend human emotions, feelings, and behaviors. For the Expression Classification Challenge, we propose a streamlined approach that handles the challenges of classification effectively. However, our main contribution lies in our use of diverse models and tools to extract multimodal features such as audio and video cues from the Hume-Reaction dataset. By studying, analyzing, and combining these features, we significantly enhance the model's accuracy for sentiment prediction in a multimodal context. Furthermore, our method achieves outstanding results on the Emotional Reaction Intensity (ERI) Estimation Challenge, surpassing the baseline method by an impressive 84% increase, as measured by the Pearson Coefficient, on the validation dataset." @default.
- W4327842844 created "2023-03-19" @default.
- W4327842844 creator A5036726873 @default.
- W4327842844 creator A5051332325 @default.
- W4327842844 creator A5051910511 @default.
- W4327842844 creator A5055115466 @default.
- W4327842844 creator A5058525575 @default.
- W4327842844 creator A5069255958 @default.
- W4327842844 creator A5070046055 @default.
- W4327842844 creator A5077416686 @default.
- W4327842844 creator A5086664284 @default.
- W4327842844 date "2023-03-16" @default.
- W4327842844 modified "2023-09-27" @default.
- W4327842844 title "Multimodal Feature Extraction and Fusion for Emotional Reaction Intensity Estimation and Expression Classification in Videos with Transformers" @default.
- W4327842844 doi "https://doi.org/10.48550/arxiv.2303.09164" @default.
- W4327842844 hasPublicationYear "2023" @default.
- W4327842844 type Work @default.
- W4327842844 citedByCount "0" @default.
- W4327842844 crossrefType "posted-content" @default.
- W4327842844 hasAuthorship W4327842844A5036726873 @default.
- W4327842844 hasAuthorship W4327842844A5051332325 @default.
- W4327842844 hasAuthorship W4327842844A5051910511 @default.
- W4327842844 hasAuthorship W4327842844A5055115466 @default.
- W4327842844 hasAuthorship W4327842844A5058525575 @default.
- W4327842844 hasAuthorship W4327842844A5069255958 @default.
- W4327842844 hasAuthorship W4327842844A5070046055 @default.
- W4327842844 hasAuthorship W4327842844A5077416686 @default.
- W4327842844 hasAuthorship W4327842844A5086664284 @default.
- W4327842844 hasBestOaLocation W43278428441 @default.
- W4327842844 hasConcept C119599485 @default.
- W4327842844 hasConcept C119857082 @default.
- W4327842844 hasConcept C127413603 @default.
- W4327842844 hasConcept C151730666 @default.
- W4327842844 hasConcept C153180895 @default.
- W4327842844 hasConcept C154945302 @default.
- W4327842844 hasConcept C15744967 @default.
- W4327842844 hasConcept C165801399 @default.
- W4327842844 hasConcept C199360897 @default.
- W4327842844 hasConcept C2779343474 @default.
- W4327842844 hasConcept C2992252252 @default.
- W4327842844 hasConcept C41008148 @default.
- W4327842844 hasConcept C52622490 @default.
- W4327842844 hasConcept C66322947 @default.
- W4327842844 hasConcept C77805123 @default.
- W4327842844 hasConcept C86803240 @default.
- W4327842844 hasConcept C90559484 @default.
- W4327842844 hasConceptScore W4327842844C119599485 @default.
- W4327842844 hasConceptScore W4327842844C119857082 @default.
- W4327842844 hasConceptScore W4327842844C127413603 @default.
- W4327842844 hasConceptScore W4327842844C151730666 @default.
- W4327842844 hasConceptScore W4327842844C153180895 @default.
- W4327842844 hasConceptScore W4327842844C154945302 @default.
- W4327842844 hasConceptScore W4327842844C15744967 @default.
- W4327842844 hasConceptScore W4327842844C165801399 @default.
- W4327842844 hasConceptScore W4327842844C199360897 @default.
- W4327842844 hasConceptScore W4327842844C2779343474 @default.
- W4327842844 hasConceptScore W4327842844C2992252252 @default.
- W4327842844 hasConceptScore W4327842844C41008148 @default.
- W4327842844 hasConceptScore W4327842844C52622490 @default.
- W4327842844 hasConceptScore W4327842844C66322947 @default.
- W4327842844 hasConceptScore W4327842844C77805123 @default.
- W4327842844 hasConceptScore W4327842844C86803240 @default.
- W4327842844 hasConceptScore W4327842844C90559484 @default.
- W4327842844 hasLocation W43278428441 @default.
- W4327842844 hasOpenAccess W4327842844 @default.
- W4327842844 hasPrimaryLocation W43278428441 @default.
- W4327842844 hasRelatedWork W1964120219 @default.
- W4327842844 hasRelatedWork W2000165426 @default.
- W4327842844 hasRelatedWork W2136054869 @default.
- W4327842844 hasRelatedWork W2144059113 @default.
- W4327842844 hasRelatedWork W2146076056 @default.
- W4327842844 hasRelatedWork W2385132419 @default.
- W4327842844 hasRelatedWork W2772780115 @default.
- W4327842844 hasRelatedWork W2811390910 @default.
- W4327842844 hasRelatedWork W3003836766 @default.
- W4327842844 hasRelatedWork W2131683651 @default.
- W4327842844 isParatext "false" @default.
- W4327842844 isRetracted "false" @default.
- W4327842844 workType "article" @default.